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An introduction to data analysis in R: hands-on coding, data mining, visualization and statistics from scratch
This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-48997-7 http://cds.cern.ch/record/2727050 |